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1 Ergebnisse
1
Forecast of State of Charge and Adaptive Voltage for Lithiu..:
, In:
2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
,
Li, Zhanying
;
Zhang, Xinwei
;
Li, Guocheng
... - p. 158-163 , 2023
Link:
https://doi.org/10.1109/ICPECA56706.2023.10075738
RT T1 <cTitle>2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)</cTitle>: T1 <Title>Forecast of State of Charge and Adaptive Voltage for Lithium-ion Batteries Using Artificial Neural Network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10075738&Exemplar=1&LAN=DE A1 Li, Zhanying A1 Zhang, Xinwei A1 Li, Guocheng A1 Zhang, Yinghao A1 Liang, Yi A1 Chen, Ming YR 2023 K1 Lithium-ion batteries K1 Temperature measurement K1 Adaptation models K1 Parameter estimation K1 Estimation K1 Prediction algorithms K1 Lithium batteries K1 lithium-ion battery K1 state of charge (SOC) K1 parameter identification K1 radial basis function (RBF) K1 backtracking search algorithm (BSA) SP 158 OP 163 LK http://dx.doi.org/https://doi.org/10.1109/ICPECA56706.2023.10075738 DO https://doi.org/10.1109/ICPECA56706.2023.10075738 SF ELIB - SuUB Bremen
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